A comparative study of commercial lithium ion battery cycle life in electrical vehicle: Aging mechanism identification
By Xuebing Han, Minggao Ouyang, Languang Lu, Jianqiu Li, Yuejiu Zheng, Zhe Li. 2014
746 citations recorded by the source corpus.
Subfields: Automotive Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/3cdc439d9a141630c295e18c11ebdbdce8a2dd61
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
- Xiaosong Hu
- Zhenpo Wang
- Xianke Lin
- Kailong Liu
- Billy Wu
- Lei Zhang
- Michael G. Pecht
- Maitane Berecibar
In Electrical and Electronic Engineering
- Zhenpo Wang
- Xiaosong Hu
- Xianke Lin
- Billy Wu
- Kailong Liu
- Michael G. Pecht
- Changfu Zou
- Maitane Berecibar
Citations in the corpus
- Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review (2019, background): “cell voltage, which has a more definite position [59] and is not subject to accumulated errors.”
- A review of fractional-order techniques applied to lithium-ion batteries, lead-acid batteries, and supercapacitors (2018, background): “Such a process can be accelerated dramatically if EESSs operate under inappropriate conditions [113].”
- Novel application of differential thermal voltammetry as an in-depth state-of-health diagnosis method for lithium-ion batteries (2016, methodology): “It should be noted that these are not clear in either the SRCV or ICM techniques.”